At a Glance
- Tasks: Join us to build robust data solutions that transform customer interactions in the insurance sector.
- Company: Leading insurance company focused on innovative AI product delivery.
- Benefits: Competitive pay, flexible working arrangements, and opportunities for professional growth.
- Other info: Dynamic role with a chance to work on cutting-edge AI projects.
- Why this job: Make a real impact by optimising data for better customer outcomes and operational efficiency.
- Qualifications: Experience in data engineering, preferably in insurance or financial services.
The predicted salary is between 50000 - 60000 £ per year.
- Data Engineer
- Contract
- Outside IR35
We require an experienced Data Engineer to play a critical role in the successful delivery of an AI Product Delivery programme which will fundamentally reshape how customers interact with a leading insurance company.
To measure, optimise, and demonstrate the impact of this transformation, we need robust data engineering capability to enable the development of management information and operational dashboards.
These reporting solutions will provide clear visibility of programme performance, customer outcomes, operational efficiency, and value realisation, ensuring stakeholders can effectively monitor progress and make data-driven decisions.
Proven experience within a similar role is required ideally within the insurance or financial services sector.
- Required skills
- Databricks
- Data Engineering
Desirable Experience
- Looker instance
- Big Query
- Understanding of Google CES Data for -
- CX Insights
- CCaa S
- Dialogflow CX / Conversational Agents
- Power BI
- #J-18808-Ljbffr
Data Engineer in Royal Tunbridge Wells employer: GerrardWhite
GerrardWhite is an exceptional employer that fosters a collaborative and innovative work culture, where your expertise in risk management will be valued and impactful. With a strong commitment to employee development, you will have access to continuous learning opportunities and the chance to work alongside senior leaders in a dynamic environment. Located in a vibrant area, our company offers a supportive atmosphere that encourages professional growth while ensuring a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Royal Tunbridge Wells
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like GerrardWhite before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like GerrardWhite.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like GerrardWhite.
We think you need these skills to ace Data Engineer in Royal Tunbridge Wells
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at GerrardWhite, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to GerrardWhite, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab GerrardWhite’s attention and show the tangible impact of your work.
How to prepare for a job interview at GerrardWhite
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at GerrardWhite.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at GerrardWhite.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at GerrardWhite.
